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license: apache-2.0

moondream2 is a small vision language model designed to run efficiently on edge devices. Check out the GitHub repository for details.

Benchmarks

Release VQAv2 GQA TextVQA POPE TallyQA
2024-03-04 (latest) 74.2 58.5 36.4 (coming soon) (coming soon)

Usage

pip install transformers timm einops
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "vikhyatk/moondream2"
model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, revision="2024-03-04"
)
tokenizer = AutoTokenizer.from_pretrained(model_id, revision="2024-03-04")

image = Image.open('<IMAGE_PATH>')
enc_image = model.encode_image(image)
print(model.answer_question(enc_image, "Describe this image.", tokenizer))

The model is updated regularly, so we recommend pinning the model version to a specific release as shown above.